33844 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 33844 Zip Code | Florida | U.S. |
Total Housing Units | 16,734, 100% | 9,051,851 | 132,741,033 |
1 Room | 148, 0.88%, see rank | 1.65% | 1.95% |
2 Rooms | 195, 1.17%, see rank | 2.16% | 2.48% |
3 Rooms | 953, 5.69%, see rank | 10.38% | 9.13% |
4 Rooms | 3,005, 17.96%, see rank | 21.92% | 16.60% |
5 Rooms | 6,553, 39.16%, see rank | 23.70% | 20.41% |
6 Rooms | 3,800, 22.71%, see rank | 17.82% | 18.06% |
7 Rooms | 1,111, 6.64%, see rank | 10.59% | 12.27% |
8 Rooms | 550, 3.29%, see rank | 6.13% | 8.48% |
9 Rooms or More | 419, 2.50%, see rank | 5.66% | 10.60% |
Median Rooms | 5.10, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 33844 Zip Code | Florida | U.S. |
Total Housing Units | 16,417, 100% | 8,983,414 | 131,642,457 |
1 Room | 182, 1.11%, see rank | 1.60% | 1.95% |
2 Rooms | 356, 2.17%, see rank | 2.07% | 2.36% |
3 Rooms | 1,446, 8.81%, see rank | 10.10% | 8.97% |
4 Rooms | 3,651, 22.24%, see rank | 21.59% | 16.57% |
5 Rooms | 5,494, 33.47%, see rank | 23.45% | 20.41% |
6 Rooms | 2,514, 15.31%, see rank | 18.16% | 18.25% |
7 Rooms | 1,576, 9.60%, see rank | 10.93% | 12.38% |
8 Rooms | 751, 4.57%, see rank | 6.37% | 8.59% |
9 Rooms or More | 447, 2.72%, see rank | 5.73% | 10.52% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
US Census 2000 data
| 33844 Zip Code | Florida | U.S. |
Total Housing Units | 13,360, 100% | 7,302,947 | 115,904,641 |
1 Room | 104, 0.78%, see rank | 2.37% | 2.20% |
2 Rooms | 756, 5.66%, see rank | 6.06% | 4.81% |
3 Rooms | 1,820, 13.62%, see rank | 11.51% | 9.84% |
4 Rooms | 3,192, 23.89%, see rank | 19.42% | 15.97% |
5 Rooms | 3,627, 27.15%, see rank | 22.70% | 20.89% |
6 Rooms | 2,095, 15.68%, see rank | 17.74% | 18.45% |
7 Rooms | 1,007, 7.54%, see rank | 10.60% | 12.06% |
8 Rooms | 351, 2.63%, see rank | 5.76% | 8.06% |
9 Rooms or More | 408, 3.05%, see rank | 3.85% | 7.70% |
Median Rooms | 4.70, see rank | 5.00 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.